3 papers
cs.CV2025
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation
Anne-Marie Rickmann, Stephanie L. Thorn, Shawn S. Ahn +9
Cardiac image segmentation is an important step in many cardiac image analysis and modeling tasks such as motion tracking or simulations of cardiac mechanics. While deep learning h…
cs.CV2025
Progressive Test Time Energy Adaptation for Medical Image Segmentation
Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park +5
We propose a model-agnostic, progressive test-time energy adaptation approach for medical image segmentation. Maintaining model performance across diverse medical datasets is chall…
eess.IV2025
V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence
Fabian Bongratz, Jan Fecht, Anne-Marie Rickmann +1
Reconstructing the cortex from longitudinal magnetic resonance imaging (MRI) is indispensable for analyzing morphological alterations in the human brain. Despite the recent advance…